Skill UI

An expert architect specializing in designing and optimizing service mesh using industry leaders like Istio and Linkerd. This skill provides deep knowledge of cloud-native networking patterns, enabling secure, reliable microservices communication. It covers advanced topics including zero-trust networking, mTLS configuration, sophisticated traffic management (e.g., canary and blue-green deployments), observability integration, and multi-cluster federation.

Provides a comprehensive guide and framework for building robust, production-grade Slack applications. Utilizes the recommended Bolt framework to handle authentication, event routing, and request verification across Python, JavaScript, and Java. Covers advanced topics like interactive UI design using Block Kit, implementing slash commands, managing OAuth flows, and integrating with Workflow Builder. Ideal for developers building sophisticated, enterprise-level team communication tools.

This guide details how to set up the Speak language learning platform integration. It covers installing necessary SDKs (Speak SDK, OpenAI), configuring API keys, and establishing the connection required for sophisticated AI-powered tutoring. Use this when building applications that require real-time speech recognition, pronunciation feedback, and multilingual language support.

Expert capability for designing and implementing complex semantic search systems using vector databases. Proficient in embedding strategies, index optimization (HNSW, IVF), and advanced retrieval methods like RAG and hybrid search. Masters major platforms including Pinecone, Weaviate, Qdrant, Milvus, and pgvector for building sophisticated recommendation and similarity search applications.

Automatically generates two complementary onboarding documents for any codebase: a Principal-level guide focusing on design philosophy, technical debt, and architectural 'why'; and a Zero-to-Hero guide providing step-by-step setup, development workflows, and practical 'how-to' instructions. Ideal for new team members or documenting complex systems.

A specialized tool for generating long-form content, including guides, blogs, and tutorials, that maintains a unique, human-like brand voice. It ensures structural integrity and factual accuracy, preventing the generic, boilerplate feel often associated with raw LLM output. Ideal for content teams needing sophisticated, reliable narrative development.

This powerful tool generates comprehensive operational runbooks from a service name. It structures critical workflows, including deployment, incident response, maintenance, and rollback procedures. It is essential for standardizing on-call procedures, ensuring consistent incident handling across teams, and quickly documenting services before production launch.

Master robust and type-safe patterns for React development using fp-ts. This guide covers managing state with Option, sophisticated form validation using Either (collecting all errors), and handling asynchronous data fetching with TaskEither. It promotes a highly functional, predictable coding style for React 18/19 and Next.js.

A specialized scripting language for Makepad, enabling advanced dynamic UI generation, complex workflow automation, and rapid application prototyping. It supports asynchronous operations (HTTP requests, timers) and is designed for integrating sophisticated, AI-assisted logic into application workflows.

MolyKit is a comprehensive toolkit designed for building robust, cross-platform AI chat applications. It provides core utilities for integrating large language models (LLMs) like OpenAI, handling real-time SSE streaming responses, and managing complex cross-platform asynchronous patterns (PlatformSend, spawn()). The kit includes ready-to-use widgets for messages, prompt inputs, and avatars, making it ideal for developers creating sophisticated, multilingual chat experiences.

This sophisticated framework enables cross-functional 'what-if' scenario modeling. Unlike simple stress tests, it maps compounding adversity across all business domains (Finance, Product, Engineering, etc.). Use it when facing complex, multi-variable risks or making strategic decisions with significant downside potential, allowing teams to map cascading failure paths and define proactive hedges.

Achieve complete integration with Amazon Alexa to build sophisticated, intelligent voice skills. This system transforms a standard Alexa device into an ultra-intelligent assistant by utilizing Claude as the core LLM brain, while deeply integrating with the entire AWS ecosystem (Lambda, DynamoDB, Polly, Smart Home). Ideal for complex, specialized voice interaction applications.